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Ashakumar Singh, Ak.
- LAN Modeling in Rural Areas Based on Variable Metrics Using Fuzzy Logic
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Authors
Affiliations
1 Department of Computer Science, Thoubal College, Manipur University, IN
1 Department of Computer Science, Thoubal College, Manipur University, IN
Source
International Journal of Advanced Networking and Applications, Vol 4, No 5 (2013), Pagination: 1704-1709Abstract
The global scenario of the present world highly needs the communication between the urban areas and the rural areas. To motivate a new system for rural broadband access, there needs the integration of LAN and IEEE 802.11 WLAN technologies. The variable metrics such as Access Protocol, User traffic profile, Buffer size and Data collision and retransmission are involved in the modeling of such LAN. In the paper, a fuzzy logic based LAN modeling technique is designed for which the variable metrics are imprecise. The technique involves the fuzzification of the variable metrics to be input, rule evaluation, and aggregation of the rule outputs. The implementation is done using Fuzzy Inference System (FIS) based on Mamdani style in MatLab 7.6 for the representation of the reasoning and effective analysis. Four LAN systems are tested to analyze potential variable metrics to bring a smooth communication in the rural societies.Keywords
Fuzzy Logic, Linguistic Variable, Performance Rating, Fuzzy Inference System.Full Text
- LAN Performance Ratings Using Fuzzy Set Theory
Abstract Views :102 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science, Thoubal College, Manipur, IN
1 Department of Computer Science, Thoubal College, Manipur, IN
Source
International Journal of Advanced Networking and Applications, Vol 3, No 4 (2012), Pagination: 1270-1275Abstract
A single dimension cannot quantify or properly express the performance of a LAN. It is very difficult to interpret LAN metrics without knowing what application (users) are involved. LAN performance measurement metrics are resource usages, processing delays, throughput, availability, fairness of measured data, and communigram. LAN policies need to be frequently updated based on feedbacks from implementation of previous policies. These feedbacks are always stated in the form of ordinal ratings, e.g. “high speed”, “average performance”, “good condition”. The Different people can describe different values to these ordinal ratings without a clear-cut reason or scientific basis. There is need for a way or means to transform vague ordinal ratings to more appreciable and precise numerical estimates. The paper transforms the ordinal performance ratings of some LAN performance strategies to numerical ratings using Fuzzy Set Theory.Keywords
Fuzzy Set Theory, LAN Performance, Performance Strategies, Transformation.Full Text